Skip to content

A Flask web app for testing image classification models trained on the Fashion MNIST dataset. Users can either draw an image on a canvas or upload an image to get predictions

Notifications You must be signed in to change notification settings

daavila1/closet-tune-app

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🖌️ Closet Tune App

A simple Flask web app for testing interactively image classification models trained on the Fashion MNIST dataset. User can upload an image or draw in the canvas to get predictions from four different machine learning models.

🛠️ Installation and usage

Prerequisites: Python 3.8 or higher, pip.

  1. Clone this repository:
git clone https://github.com/yourusername/closet-tune-app.git
cd closet-tune-app
  1. Create virtual environment (optionally but recommended):
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

Or set it up via VS Code

  1. Install required dependencies
pip install -r requirements.txt
  1. Run the app
flask --app app run
  1. Open in your browser

🎥 Demo

Quick demos of the app in action:

  • Demo 1: demo1

  • Demo 2: demo2

  • Demo 3: demo3

🔗 Related repositories

About

A Flask web app for testing image classification models trained on the Fashion MNIST dataset. Users can either draw an image on a canvas or upload an image to get predictions

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published